bioRxivCancer Biology
Cellular mRNA signals in human kidney tumors
M. D. Young, T. J. Mitchell, L. M. Custers, T. Margaritis, F. Morales, K. Kwakwa, E. Khabirova, G. Kildisiute, T. R. Oliver, R. R. d. Krijger, M. M. v. d. Heuvel-Eibrink, F. Comitani, A. Piapi, E. B. Blanco, C. Thevanesan, C. Burke, E. Prigmore, K. Ambridge, K. Roberts, F. A. V. Braga, T. H. Coorens, I. D. Valle, A. Wilbrey-Clark, L. Mamanova, G. D. Stewart, , Holste
Abstract
The cellular transcriptome may provide clues into the differentiation state and origin of human cancer, as tumor cells may retain patterns of gene expression similar to the cell they derive from. Here, we studied the differentiation state and cellular origin of human kidney tumors, by assessing mRNA signals in 1,300 childhood and adult renal tumors, spanning seven different tumor types. Using single cell mRNA reference maps of normal tissues generated by the Human Cell Atlas project, we measured the abundance of reference "cellular signals" in each tumor. Quantifying global differentiation states, we found that, irrespective of tumor type, childhood tumors exhibited fetal cellular signals, thus replacing the long-held presumption of "fetalness" with a precise, quantitative readout of immaturity. By contrast, in adult cancers our assessment refuted the suggestion of dedifferentiation towards a fetal state in the overwhelming majority of cases, with the exception of lethal variants of clear cell renal cell carcinoma. Examining the specific cellular phenotype of each tumor type revealed an intimate connection between the different mesenchymal populations of the developing kidney and childhood renal tumors, whereas adult tumors mostly represented specific mature tubular cell types. RNA signals of each tumor type were remarkably uniform and specific, indicating a possible therapeutic and diagnostic utility. We demonstrated this utility with a case study of a cryptic renal tumor. Whilst not classifiable by clinical pathological work-up, mRNA signals revealed the diagnosis. Our findings provide a cellular definition of human renal tumors through an approach that is broadly applicable to human cancer.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Transcriptional signals of dedifferentiation in human cancer
G. Kildisiute, M. Kalyva, … M. D. Young·bioRxiv·Nov 28, 2022
- Molecular characterization of clonal human renal forming cells
O. Cohen-Zontag, R. Gershon, … N. Pode-Shakked·bioRxiv·Mar 5, 2020
- Single cell transcriptomic profiling identifies tumor-acquired and therapy-resistant cell states in pediatric rhabdomyosarcoma
S. G. Danielli, Y. Wei, … D. M. Langenau·bioRxiv·Oct 13, 2023
- Single-cell analysis of progenitor cell dynamics and lineage specification of the human fetal kidney
Rajasree Menon, Edgar A. Otto, … Cristina Cebrián·DevelopmentPeer-reviewed·Aug 15, 2018
- Comparative analysis of kidney organoid and adult human kidney single cell and single nucleus transcriptomes
Hao Wu, Kohei Uchimura, … Benjamin D. Humphreys·bioRxiv·Dec 11, 2017
- An Integrated Atlas of the Human Kidney Spanning Health and Diseases
Konstantinos Stasinos, Hanchen Wang, … He Peng·bioRxiv·Sep 22, 2026